Détail du poste
As the world is evolving to be connected, Stellantis recognizes that technology is going to disrupt the automotive industry significantly in the next decade. Our organization is seeking high potential, technology game changers to digitally transform the company with a focus on the customer experience.
Stellantis's Software Organization (SWX) was established to build the most captivating experiences in the latest frontiers of Automotive Technology. As part of that foundation, we are investing to rapidly grow our capabilities within the field of Automated Driving. We are seeking an Automated Driving Verification Test Engineer working in the Verification team for L2+/L3 test activities.
Verification team is a branch of Core SW Virtual V&V that is out to verify the Network, Diagnostic and Functional requirements of L2+/L3 features. In Verification team it is expected to analyze the requirements, create test cases, and automatize them in a CI/CD pipeline. In this area we require an engineer with a background in computer science and electronics focusing on testing in ADAS/AD and preferably, with a demonstrated knowledge of Verification/Validation Process. The nominated engineer will have a chance to collaborate with a global team working on a very challenging task.
The ideal candidate for this position is a self-productive person who can create the test cases for requirements coverage and execute them through Open Loop or HIL benches. He/she will need to be able to write the test cases in pseudo code, CAPL, Python and debug and resolve the test issues with required tools. He/she will need to evaluate the new possible pipelines entering the company. He/she must provide structured feedback to the team lead and support the team for resolving the problems for new verification test cases.
Le profil recherché
Basic Qualifications:
Bachelor of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university
2 or more years of experience in HIL or bench testing (eg. ControlDesk, Python)
1 or more years of experience in HIL or bench setup and maintenance
3 years of proactive coding experience in C, Python
Demonstrated knowledge about CAN and Ethernet networks
Knowledge of network and diagnostic test protocol and tools (eg. INCA, Canalyzer, Canoe)
Demonstrated knowledge about software testing toolsets and languages.
Demonstrated ability to successfully accomplish tasks under minimal supervision
Ability to communicate effectively with team members and customers
Demonstrated ability to quickly learn software toolset and language.
Preferred Qualifications:
Master of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university
Demonstrated knowledge of ADAS/Autonomous Driving features and relative electronic architectures
1 or more years of experience with: Pytest, CAPL, Canoe.Diva
Knowledge of Classic AUTOSAR or Adaptive AUTOSAR
Knowledge of DLT, Diagnostics over IP and UDS protocol
Working level knowledge of ALM tools (e.g. IBM Doors, Polarion, Codebeamer)
Demonstrated knowledge of test platforms such as Open Loop and Hardware in the Loop
Publiée le 14/06/2026 - Réf : 2022-12109